ETL Engineer SME

AnaVation•Chantilly, VA

21h•Hybrid

About The Position

AnaVation is seeking a highly skilled Senior-level ETL Engineer to join our team to deliver engineering tasks to advanced analytic applications across classified environments. You will develop sophisticated data pipelines and ETL processes for desktop and web-based analytic software, facilitate the bulk analysis of relational information, and enable applications that deliver data from diverse data sources. This position offers hybrid flexibility, but candidates must be local to the DMV area. Onsite requirements are subject to change based on customer needs.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, or related field
Minimum of 10 years of experience in data engineering or related field
Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI)
US Citizenship is required.
Experience with Agile methodologies
Understanding of data warehousing and business intelligence concept
Data analysis, query, aggregation, and visualization techniques
ETL processes and data transformation
SQL and database technologies (MySQL, PostgreSQL, Microsoft SQL)
Software development fundamentals
Data management and big data technologies
Version control systems (Git)
Advanced proficiency with: Python for data processing, automation and ETL workflow orchestration
Elasticsearch or Opensearch (design, scaling, query optimization, cluster management)
Data pipeline technologies (Apache Nifi, Cribl)
Cross-domain ETL solutions for secure data transfer between classification levels
Cloud platforms (AWS GovCloud, SC2S, C2S)
Must be a U.S. citizen and able to pass a background check and polygraph examination
May require flexible scheduling to support critical operations

Nice To Haves

Containerization and orchestration technologies (Docker, Kubernetes)
GraphQL: schema design, API development, and query optimization
DevSecOps practices and tools in classified environments
Experience with RabbitMQ and Redis
Knowledge of IC specific data formats, schemas and transfer protocols
Prior work integrating intelligence data across multiple enclaves
Cloud certification

Responsibilities

Design and implement complex data pipelines and ETL processes to support cyber investigative capabilities across multi-classification domains
Architect and develop ETL workflows for highly sensitive data in classified environments
Support IC Data Services requirements by integrating various intelligence data sources and systems
Develop and maintain data analytics solutions for desktop and web-based visual analytic applications
Establish applications that produce manageable, actionable intelligence from streams of structured and semi-structured data
Design strategies for enterprise database systems and set standards for operations, programming, and security
Construct and optimize large relational databases across multi-enclave environments (Unclassified, Secret, and Top Secret)
Tune performance of large-scale data workflows, ensuring cost efficiency, low latency, and high availability
Design and manage Elasticsearch/Opensearch clusters for fast search, indexing, and retrieval of large-scale datasets
Integrate new systems with existing warehouse structures and refine system performance and functionality
Implement CI/CD pipelines for data systems, automate monitoring/alerting, and enforce infrastructure-as-code practices
Provide technical leadership and mentorship to other team members
Participate in Program Increments (PIs) and Agile Release Train (ART) activities